Journal of Proteomics & Bioinformatics
Open Access
ISSN: 0974-276X
+44 1223 790975
ISSN: 0974-276X
+44 1223 790975
Tomo Yonezawa
School of Medicine,
Bohseidai, Ishehara, Kanagawa 259-1193
Japan
Research Article
Comparative Proteomics and Network Analysis Identify PKC Epsilon
Underlying Long-Chain Fatty Acid Signaling
Author(s): Tomo Yonezawa, Riho Kurata, Atsushi Tajima, Xiaofeng Cui, Hiroki Maruta, Hirofumi Nakaoka, Keiichi Nakajima and Hidetoshi InokoTomo Yonezawa, Riho Kurata, Atsushi Tajima, Xiaofeng Cui, Hiroki Maruta, Hirofumi Nakaoka, Keiichi Nakajima and Hidetoshi Inoko
Long-chain fatty acid possesses myriad roles in the biological function of the cells, not only as an energy substrate but also as substrates for cell membrane synthesis and as precursors for intracellular signaling molecules. However, little is known about the biological pathways that are stimulated by long-chain fatty acid. In order to identify the pathway of long-chain fatty acid, we performed 2-dimensional gel electrophoresis in the cells treated with or without oleate, and then analyzed 648 protein spots using PDQuest software and narrowed down 22 significant changing spots by statistical criterion. We also tried to determine these spots by MALDI-QIT-TOF-MS and SWISSPROT database query. We identified 11 proteins and predicted the biological network using available data sets from protein-protein interaction database. This prediction indicated that several protein kinase Cs (PKCs) u.. View More»
DOI:
10.4172/jpb.1000337